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Optimization Scheme of Collaborative Intrusion Detection System Based on Blockchain Technology

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-99843-5_10openalex-snapshot
Towards Blockchain-Based Collaborative Intrusion Detection Systems
inferredcites →https://doi.org/10.1007/s10994-006-6226-1openalex-snapshot
Extremely randomized trees
inferredcites →https://doi.org/10.1016/j.cose.2008.08.003openalex-snapshot
Anomaly-based network intrusion detection: Techniques, systems and challenges
inferredcites →https://doi.org/10.1016/j.cose.2024.104034openalex-snapshot
IoT-PRIDS: Leveraging packet representations for intrusion detection in IoT networks
inferredcites →https://doi.org/10.1016/j.cose.2024.104037openalex-snapshot
IoTPredictor: A security framework for predicting IoT device behaviours and detecting malicious devices against cyber attacks
inferredcites →https://doi.org/10.1016/j.eswa.2024.124528openalex-snapshot
Enhancing trustworthiness among iot network nodes with ensemble deep learning-based cyber attack detection
inferredcites →https://doi.org/10.1016/j.eswa.2024.124982openalex-snapshot
Anomaly and intrusion detection using deep learning for software-defined networks: A survey
inferredcites →https://doi.org/10.1016/j.future.2019.02.064openalex-snapshot
Designing collaborative blockchained signature-based intrusion detection in IoT environments
inferredcites →https://doi.org/10.1016/j.future.2024.07.017openalex-snapshot
Digital Twin and federated learning enabled cyberthreat detection system for IoT networks
inferredcites →https://doi.org/10.1016/j.heliyon.2024.e32570openalex-snapshot
Predicting performance of students by optimizing tree components of random forest using genetic algorithm
inferredcites →https://doi.org/10.1016/j.iot.2024.101307openalex-snapshot
Blockchain-based IoT security solutions for IDS research centers
inferredcites →https://doi.org/10.1016/j.jnca.2012.09.004openalex-snapshot
Intrusion detection system: A comprehensive review
inferredcites →https://doi.org/10.1016/j.jnca.2015.11.016openalex-snapshot
A survey of network anomaly detection techniques
inferredcites →https://doi.org/10.1016/j.rineng.2024.102218openalex-snapshot
EDT-STACK: A stacking ensemble-based decision trees algorithm for tire tread depth condition classification
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/s41598-024-72957-0openalex-snapshot
A novel approach for APT attack detection based on an advanced computing
inferredcites →https://doi.org/10.1080/08839514.2024.2381882openalex-snapshot
Analysis of Encrypted Network Traffic for Enhancing Cyber-security in Dynamic Environments
inferredcites →https://doi.org/10.1109/access.2018.2799854openalex-snapshot
When Intrusion Detection Meets Blockchain Technology: A Review
inferredcites →https://doi.org/10.1109/aiiot61789.2024.10578958openalex-snapshot
A Comprehensive Systematic Review of Blockchain-based Intrusion Detection Systems
inferredcites →https://doi.org/10.1109/bigdatacongress.2017.85openalex-snapshot
An Overview of Blockchain Technology: Architecture, Consensus, and Future Trends
inferredcites →https://doi.org/10.1109/csac.2003.1254328openalex-snapshot
Collaborative intrusion detection system (CIDS): framework for accurate and efficient IDS
inferredcites →https://doi.org/10.1109/csr54599.2022.9850331openalex-snapshot
CIDS: Collaborative Intrusion Detection System using Blockchain Technology
inferredcites →https://doi.org/10.1109/jiot.2022.3200121openalex-snapshot
CGAN-Based Collaborative Intrusion Detection for UAV Networks: A Blockchain-Empowered Distributed Federated Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2024.3406602openalex-snapshot
A Blockchain-Reinforced Federated Intrusion Detection Architecture for IIoT
inferredcites →https://doi.org/10.1109/mahc.2015.41openalex-snapshot
The March of IDES: Early History of Intrusion-Detection Expert Systems
inferredcites →https://doi.org/10.1109/mc.2002.1012428openalex-snapshot
Intrusion detection: a brief history and overview
inferredcites →https://doi.org/10.1109/mcom.001.1900143openalex-snapshot
MBID: Micro-Blockchain-Based Geographical Dynamic Intrusion Detection for V2X
inferredcites →https://doi.org/10.1109/skima47702.2019.8982413openalex-snapshot
Snort Based Collaborative Intrusion Detection System Using Blockchain in SDN
inferredcites →https://doi.org/10.1109/tsmc.2019.2911548openalex-snapshot
A Collaborative Intrusion Detection Approach Using Blockchain for Multimicrogrid Systems
inferredcites →https://doi.org/10.1109/vtc2021-fall52928.2021.9625388openalex-snapshot
A Two-layer Collaborative Vehicle-Edge Intrusion Detection System for Vehicular Communications
inferredcites →https://doi.org/10.1145/3349266.3351389openalex-snapshot
An Architecture for Blockchain-Enabled Collaborative Signature-based Intrusion Detection System
inferredcites →https://doi.org/10.1504/ijwgs.2018.095647openalex-snapshot
Blockchain challenges and opportunities: a survey
inferredcites →https://doi.org/10.32604/csse.2022.017941openalex-snapshot
Intrusion Detection Systems Using Blockchain Technology: A Review, Issues and Challenges
inferredcites →https://doi.org/10.3390/app132011145openalex-snapshot
A Hybrid Genetic Algorithm-Based Random Forest Model for Intrusion Detection Approach in Internet of Medical Things
inferredcites →https://doi.org/10.3390/electronics12214509openalex-snapshot
Collaborative Federated Learning-Based Model for Alert Correlation and Attack Scenario Recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s10586-026-06440-yopenalex-snapshot
Multi-agent reinforcement integrated with blockchain: developing intrusion detection for IoT network security
inferred← citeshttps://doi.org/10.1007/s11235-026-01440-0openalex-snapshot
A hybrid transformer-LSTM deep learning framework for secure intrusion detection in blockchain-enabled IoT networks
inferred← citeshttps://doi.org/10.1007/s12083-026-02195-wopenalex-snapshot
A blockchain-driven intrusion detection model for secure communication in IoT-WSN mesh architectures
inferred← citeshttps://doi.org/10.1007/s40998-026-01061-yopenalex-snapshot
Energy Efficient Cybersecurity and Blockchain-Enhanced Data Privacy in Smart Grid Infrastructure for Secure Energy Transactions
inferred← citeshttps://doi.org/10.1007/s41870-025-02980-5openalex-snapshot
Collaborative intrusion detection in 6G-enabled IoT networks using Newton Raphson Optimized Dynamic Slimmable Global Attention Network with Blockchain Approach
inferred← citeshttps://doi.org/10.1038/s41598-025-93549-6openalex-snapshot
Integrating hybrid bald eagle crow search algorithm and deep learning for enhanced malicious node detection in secure distributed systems
inferred← citeshttps://doi.org/10.1049/cdt2/5109789openalex-snapshot
Collaborative Vision: Face Recognition and Detection Using Ensemble Deep Learning in a Federated Learning Framework
inferred← citeshttps://doi.org/10.1109/icaiccit68829.2025.11434029openalex-snapshot
A Deep Dive into IOT Device Security: Threats and Countermeasures
inferred← citeshttps://doi.org/10.1109/jiot.2026.3662349openalex-snapshot
A Four-Paradigm Taxonomy and Systematic Survey of Blockchain-Enabled Intrusion Detection Systems for IoT and IIoT
inferred← citeshttps://doi.org/10.3390/s26196211openalex-snapshot
AI-Driven Intrusion Detection for Vehicular Networks: A Comprehensive Survey of Techniques, Datasets, Deployment Architectures, and Future Directions
inferred← citeshttps://doi.org/10.4018/ijswis.383062openalex-snapshot
Boosting Intrusion Detection Against DDoS Attacks Using a Feature Engineering-Based Fine-Tuned XGBoost Model
inferred← citeshttps://doi.org/10.48175/ijarsct-30816openalex-snapshot
Blockchain-Enabled Network Intrusion Detection System for Secure and Transparent Threat Logging
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